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A senior data scientist (W2) building data-driven solutions, predictive models, and machine learning applications in the telecom domain. Day-to-day work centers on Python-based data science using Pandas, NumPy, and Scikit-learn, offered remotely across several US states.
Senior advanced analytics/data science lead at Capco's Kuala Lumpur office, driving end-to-end analytics initiatives for banking clients: building statistical and machine learning models, running A/B tests, and turning large transactional datasets into commercial insights. Core tools are SQL and Python.
Senior Data Scientist designs and deploys AI/ML models for financial services clients, leading projects from prototype to production while mentoring teams in Python, cloud platforms, and responsible AI practices.
Senior Data Scientist builds predictive models and AI solutions for banking clients, focusing on wealth management and retail banking using Python, SQL, and cloud platforms.
As a Senior Data Consultant at Capco, you will design and deliver enterprise data architectures and data products for financial services clients. You will work in a consulting capacity to bridge the gap between complex business challenges and scalable, cloud-based data solutions.
Senior Product Analytics role focused on measuring product adoption and engagement across Axon's ecosystem. You will partner with PMs to define metric frameworks, build durable data models using SQL, and apply statistical methods like experimentation and forecasting to drive product decisions, while exploring AI/LLM applications for automated insight generation.
Senior Data Scientist at PBG supporting a federal government client's enterprise IT modernization program from the McLean, VA office (hybrid, DC metro). Day-to-day work centers on statistical modeling, machine learning, predictive analytics, and Power BI dashboards that inform policy decisions. Active Secret clearance required.
Senior Data Scientist at a financial services institution in Brisbane, working on fraud and financial-crime initiatives such as transaction monitoring, scams, AML/CTF, entity resolution and network analysis — taking ambiguous problems through to operational adoption.
A Senior Data Scientist working on fraud and financial-crime initiatives at a leading Australian financial services institution, turning ambiguous problems into operationally adopted solutions (e.g. transaction monitoring). Role is recruited by Bluefin Resources and open to candidates based in Sydney, Melbourne or Brisbane.
A senior data scientist on JPMorgan Chase's People Analytics team measuring developer productivity and engineering efficiency: building metrics, models, dashboards, and data pipelines around CI/CD telemetry, developer activity, and AI coding tool usage. Core stack includes SQL, Python, Tableau, and platforms like Snowflake/Databricks.
A data scientist/AI engineer at Lufthansa Systems Poland designs, develops and deploys AI-powered solutions — machine learning, generative AI, and computer vision — to improve airline operations, taking initiatives from experimentation to production. Core stack includes Python (Pandas, Scikit-learn, PyTorch), SQL, and cloud platforms (Azure/GCP), in a hybrid role from the Gdańsk office.
BELVEDERE is hiring a Senior Data Scientist on a six-month hybrid contract in Kraków to design, build, and operate scalable batch and streaming data pipelines. The role centers on Spark/distributed processing, GCP services, and AI-assisted development tools, with a focus on data quality, governance, and BI use cases.
Build and improve censored bid-landscape models to estimate clearing-price distributions from partially observed auction data Develop real-time win probability estimation models responsive to bid pricing dynamics…
Build and deploy machine learning models to automate ad bidding and optimize performance marketing spend for a direct-to-consumer retail company using Python, SQL, and ad tech infrastructure.
Senior Data Scientist at Quince builds AI-driven supply chain models for demand forecasting, inventory optimization, and vendor performance using modern techniques like LLMs and agentic feature engineering.
Build and deploy optimization models for supply-chain decisions like warehouse routing, shipping costs, and inventory placement using LP/MIP, heuristics, and AI-native workflows.
Build and deploy optimization models for warehouse routing, transportation, inventory, and network planning using Operations Research and AI-native methods.
Senior Data Scientist at Free (Iliad) who analyzes large volumes of telecom network data (mobile, fixed, fiber) and builds machine learning models for network supervision, optimization, and automation, deploying them to production alongside data engineers. Core stack: Python, ML algorithms, and MLOps practices.
A senior consultant role at a digital consultancy, leading user-centred data science solutions for public and private sector clients: building ML/data products, managing MLOps deployment pipelines, and mentoring junior engineers. Core tech includes Python, SQL, R, Java, MLflow, AWS SageMaker and Azure Machine Learning.
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
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